Artificial Intelligence
Canon Medical Systems Initiates Collaborative Research On AI in MR Imaging
Canon Medical Systems Corporation, along with Kumamoto University and the University of Bordeaux, has initiated collaborative research on the application of Deep Learning Reconstruction (DLR), an Artificial Intelligence (AI)-based technology in magnetic resonance (MR) imaging. More...05 Apr 2018
Dissecting AI to Better Understand the Human Brain
At the 25th annual meeting of the Cognitive Neuroscience Society (CNS), researchers presented their work in which cognitive neuroscientists are increasingly using emerging artificial networks to enhance their understanding of one of the most elusive intelligence systems, the human brain. Among the work presented at the symposium at the CNS annual meeting held in Boston from March 24-27, 2018, was “Human and machine cognition: The deep learning challenge” by Aude Oliva of MIT. In Oliva’s work, neuroscientists are learning much about the role of contextual clues in human image recognition. By using “artificial neurons” – essentially lines of code, software – with neural network models, they can parse out the various elements that go into recognizing a specific place or object. More...04 Apr 2018
Philips Launches Artificial Intelligence Platform for Healthcare
Royal Philips has launched HealthSuite Insights, including the Insights Marketplace, to support the advancing adoption of analytics and artificial intelligence (AI) in key healthcare domains. HealthSuite Insights, which made its debut at the 2018 HIMSS Conference & Exhibition (HIMSS18), gives data scientists, software developers, clinicians and healthcare providers access to advanced analytic capabilities to curate and analyze healthcare data, and offers them tools and technologies to build, maintain, deploy and scale AI-based solutions. Insights Marketplace will provide the healthcare industry's first ecosystem where curated AI assets from Philips and others are readily available for license. More...12 Mar 2018
Machine Learning Shows Promise for Supporting Medical Decisions
A number of studies presented at the 67th Annual Scientific Session of the American College of Cardiology demonstrated how machine learning can be used to accurately predict clinical outcomes in patients with known or potential heart problems. The findings of these studies indicate that machine learning can usher in a new era in digital health care tools capable of enhancing health care delivery by aiding routine processes and helping physicians to assess the patients’ risk. More...01 Mar 2018
AI-Driven Software Assists Radiologists in Reading Exams
An Artificial Intelligence (AI)-driven decision support software engine, which assists radiologists in reading digital breast tomosynthesis (DBT) and mammography exams on breast-reading workstations, was launched at the European Congress of Radiology (ECR), Vienna, Austria, February 28 – March 4, 2018. The software engine named Transpara DBT was launched by ScreenPoint Medical, which develops and markets image analysis technology and services for automated reading of mammograms and digital breast tomosynthesis exams, exploiting Big Data, Deep Learning and the latest developments in AI. More...01 Mar 2018
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The Artificial Intelligence channel of HospiMedica keeps the reader informed about the latest news in AI-based clinical decision making, Medical knowledge engineering, Intelligent medical information systems and additional related fields.